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Predicting light curves of RR Lyrae variables using artificial neural network based interpolation of a grid of pulsation models. (arXiv:2303.15117v1 [astro-ph.SR])
- Volume 18, Issue 13 - article #7
- Nitesh Kumar (1), Anupam Bhardwaj (2), Harinder P. Singh (1), Susmita Das (3), Marcella Marconi (2), Shashi M. Kanbur (4), Philippe Prugniel (5) ((1) Department of Physics, Astrophysics, University of Delhi, Delhi 110007, India (2) INAF-Osservatorio Astronomico di Capodimonte, Salita Moiariello 16, 80131, Naples, Italy (3) Konkoly Observatory, Research Centre for Astronomy, Earth Sciences, Eötvös Loránd Research Network (ELKH), Konkoly-Thege Miklós út 15-17, H-1121, Budapest, Hungary (4) Department of Physics, Earth Science, State University of New york at Oswego, Oswego, NY 13126, USA (5) Université de Lyon, Université Lyon 1, 69622 Villeurbanne, CRAL, Observatoire de Lyon, CNRS UMR 5574, 69561 Saint-Genis Laval, France)
- http://arxiv.org/abs/2303.15117
Approximating RR Lyrae light curves using cubic polynomials
- Volume 5, Issue 20 - article #3
- Steven Reyner, Shashi M. Kanbur (SUNY Oswego), C. Ngeow (National Central University, Taiwan), C. Morgan (SUNY Oswgeo)
- arXiv.org - Astrophysics - Volume: 2010, Issue: 14 May
- arXiv:1005.2345 [pdf, ps, other]